Poster + Paper
27 November 2024 Research on optimization method of scanner measurement based on cluster analysis
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Conference Poster
Abstract
In order to improve the accuracy of scanner measurement standard apparatus, a scanner measurement optimization method based on cluster analysis is proposed in the paper. The method firstly constructs a marker point layout with redundant information on the basis of the traditional scanner measurement of standard apparatus, and collects the measurement information of standard apparatus under this layout by a 3D laser scanner, and then optimizes the initial marker point layout by using a weight-based optimization strategy for the measurement results, and then performs the re-fitting of the length parameter of the standard apparatus under the optimized layout, and outputs the final standard apparatus measurement Finally, based on this optimization scheme, an experimental analysis of a 38.1 mm standard ball is carried out and compared with the CMM method with higher accuracy, which verifies that the optimized layout has an important impact on improving the measurement accuracy of the standard ball. The optimization method provides a new calibration scheme for realizing the quantity and value traceability of high-precision large-size 3D laser scanner, which is of good practicality and certain guiding significance.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaolei Hu, Yu Ren, Feng Zhang, and Chen Xue "Research on optimization method of scanner measurement based on cluster analysis", Proc. SPIE 13237, Optical Design and Testing XIV, 132371L (27 November 2024); https://doi.org/10.1117/12.3036549
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KEYWORDS
Laser scanners

3D scanning

3D imaging standards

Laser marking

Point clouds

Data modeling

Cameras

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